You have to multiple 6 times itself to get the sides
Answer:
Hence the answer is option c ; poverty and neighborhood conditions
Step-by-step explanation:
From the research, it is well known that both the dependent variable and independent variable will be taken into consideration before arriving at a conclusion.
A dependent variable is the variable that is been studied or measured i.e the results of a scientific research.
An independent variable is a variable that is been altered or controlled for and whose effects are compared to the results of the dependent variable, as such the results of a dependent variable is dependent on the alteration of the parameters of an independent variable.
From the question ; the dependent variable is sample of 707 individuals from a single community while the independent variable ; the number of hours each individual spent watching television during adolescence and early adulthood.
The word confound in statistics implies a variable which has a greater effects on both the dependent and the independent variable.
Hence the answer is option c ; poverty and neighborhood conditions
Answer:
12.08
Step-by-step explanation:
For each sunflower, there are only two possible outcomes. Either it germinates, or it does not. The probability of a sunflower germinating is independent of other sunflowers. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
The standard deviation of the binomial distribution is:

Seventy-six percent of sunflower seeds will germinate into a flower
This means that 
Samples of 800:
This means that 
The standard deviation for the number of sunflower seeds that will germinate in such samples of size 800 is:

Around 6 hours (exact decimal would be 5.99865). I did this by multiplying 14.85*40 (getting 594). After that, I subtracted 594 from 727.65 (getting 133.65), then multiplying 14.85 by 1.5, getting 22.28, and then, I did 133.65/22.28, getting 5.99865, which I rounded to 6.
This sample size it too small. The larger the sample size, the more likely the data will be true to what the question is asking. A larger sample size brings more precision to the question that is being asked.